I can select all the distinct values in a column in the following ways:
- SELECT DISTINCT column_name FROM table_name;
- SELECT column_name FROM table_name GROUP BY column_name;
But how do I get the row count from that query? Is a subquery required?
I can select all the distinct values in a column in the following ways:
SELECT DISTINCT column_name FROM table_name;SELECT column_name FROM table_name GROUP BY column_name;But how do I get the row count from that query? Is a subquery required?
 
    
    You can use the DISTINCT keyword within the COUNT aggregate function:
SELECT COUNT(DISTINCT column_name) AS some_alias FROM table_name
This will count only the distinct values for that column.
 
    
     
    
    This will give you BOTH the distinct column values and the count of each value. I usually find that I want to know both pieces of information.
SELECT [columnName], count([columnName]) AS CountOf
FROM [tableName]
GROUP BY [columnName]
 
    
     
    
    An sql sum of column_name's unique values and sorted by the frequency:
SELECT column_name, COUNT(*) FROM table_name GROUP BY column_name ORDER BY 2 DESC;
 
    
    Be aware that Count() ignores null values, so if you need to allow for null as its own distinct value you can do something tricky like:
select count(distinct my_col)
       + count(distinct Case when my_col is null then 1 else null end)
from my_table
/
 
    
    SELECT COUNT(DISTINCT column_name) FROM table as column_name_count;
you've got to count that distinct col, then give it an alias.
 
    
    select count(*) from 
(
SELECT distinct column1,column2,column3,column4 FROM abcd
) T
This will give count of distinct group of columns.
 
    
    Using following SQL we can get the distinct column value count in Oracle 11g.
select count(distinct(Column_Name)) from TableName
 
    
     
    
    To do this in Presto using OVER:
SELECT DISTINCT my_col,
                count(*) OVER (PARTITION BY my_col
                               ORDER BY my_col) AS num_rows
FROM my_tbl
Using this OVER based approach is of course optional. In the above SQL, I found specifying DISTINCT and ORDER BY to be necessary.
Caution: As per the docs, using GROUP BY may be more efficient.
 
    
    select count(distinct(column_name)) AS columndatacount from table_name where somecondition=true
You can use this query, to count different/distinct data.
 
    
     
    
    Without using DISTINCT this is how we could do it-
SELECT COUNT(C)
FROM (SELECT COUNT(column_name) as C
FROM table_name
GROUP BY column_name)
 
    
    Count(distinct({fieldname})) is redundant
Simply Count({fieldname}) gives you all the distinct values in that table. It will not (as many presume) just give you the Count of the table [i.e. NOT the same as Count(*) from table]